Assignment 2

Introduction/Review of Tidyverse

  • Tidyverse: a collection of open source packages for the R programming language introduced by Hadley Wickham and his team that “share an underlying design philosophy, grammar, and data structures” of tidy data. (Wikipedia)
  • Widely used approach to data science in R

A “Meta-package” of packages

Resources to learn Tidyverse

  • Links embedded in the assignment
  • R for Data Science: https://r4ds.hadley.nz/intro
  • Data Carpentry: https://datacarpentry.org/R-ecology-lesson

Science Question

How does water quality (temperature and chlorophyll-a) vary across time and among drinking water reservoirs in the Roanoke region?

Data

Photo credit: Cayelan Carey

Data

CSV data is available through the Environmental Data Initiative repository

Data

The data are from the National Science Foundation funded Virginia Reservoirs Long-Term Research in Environmental Biology site.

Reservoirs

Assignment

The assignment is designed to help you review R tidyverse skills that were introduced before the course.

  • Accept (e.g., fork) assignment
  • Clone your accepted assignment repo to your computer
  • Work on assignment (many commits expected)
  • Push assignment to GitHub (many times - this a backup)
  • Final render of the document to HTML
  • Commit and push HTML to GitHub
  • Upload HTML to Canvas